| An effective stator fault diagnosis framework of BLDC motor based on vibration and current signals TA Shifat, JW Hur IEEE Access 8, 106968-106981, 2020 | 88 | 2020 |
| ANN Assisted Multi Sensor Information Fusion for BLDC Motor Fault Diagnosis TA Shifat, JW Hur IEEE Access 9, 9429-9441, 2021 | 71 | 2021 |
| Remaining useful life estimation of BLDC motor considering voltage degradation and attention-based neural network TA Shifat, H Jang-Wook IEEE Access 8, 168414-168428, 2020 | 35 | 2020 |
| EEMD assisted supervised learning for the fault diagnosis of BLDC motor using vibration signal TA Shifat, JW Hur Journal of Mechanical Science and Technology 34, 3981-3990, 2020 | 34 | 2020 |
| Kalman filter assisted deep feature learning for RUL prediction of hydraulic gear pump MS Lee, TA Shifat, JW Hur IEEE Sensors Journal 22 (11), 11088-11097, 2022 | 19 | 2022 |
| A data driven RUL estimation framework of electric motor using deep electrical feature learning from current harmonics and apparent power TA Shifat, R Yasmin, JW Hur Energies 14 (11), 3156, 2021 | 16 | 2021 |
| An improved stator winding short-circuit fault diagnosis using adaboost algorithm TA Shifat, J Hur 2020 International Conference on Artificial Intelligence in Information and …, 2020 | 12 | 2020 |
| Motor vibration analysis for the fault diagnosis in nonstationary operating conditions JW Hur, T Alam International Journal of Integrated Engineering 12 (3), 151-160, 2020 | 11 | 2020 |
| RUL prediction of switched mode power supply using a Kalman filter assisted deep neural network JE Kwon, TA Shifat, AB Kareem, JW Hur Processes 10 (1), 55, 2021 | 7 | 2021 |
| Reliability improvement in the presence of weak fault features using non-Gaussian IMF selection and AdaBoost technique TA Shifat, JW Hur Journal of Mechanical Science and Technology 35, 3355-3367, 2021 | 5 | 2021 |
| RUL Prediction of Switched Mode Power Supply Using a Kalman Filter Assisted Deep Neural Network. Processes. 2022, 10, 55 JE Kwon, TA Shifat, AB Kareem, JW Hur s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 1 | 2021 |
| Classification of Inverter Failure by Using Big Data and Machine Learning MS Kim, TA Shifat, JW Hur Journal of the Korean Society of Manufacturing Process Engineers 20 (3), 1-7, 2021 | 1 | 2021 |
| Bias dependent non-linear electrical characteristics of poly-silicon nanowire and assessment of biosensing application using liquid gate TA Shifat, R Nila, MI Jan, MMA Hakim 2016 9th International Conference on Electrical and Computer Engineering …, 2016 | 1 | 2016 |
| New design of marine controlled-source electromagnetic transmitter using supercapacitors TA Shifat, X Tu, Y Cao, A Schultz SEG International Exposition and Annual Meeting, D011S036R003, 2022 | | 2022 |
| A Hybrid Fault Diagnosis Approach Using FEM Optimized Sensor Positioning and Machine Learning SJ Jung, TA Shifat, JW Hur Processes 10 (10), 1919, 2022 | | 2022 |
| A Hybrid Fault Diagnosis Approach Using FEM Optimized Sensor Positioning and Machine Learning. Processes 2022, 10, 1919 SJ Jung, TA Shifat, JW Hur s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
| A Practical Condition Monitoring Approach Using Normalized Modal Current and Support Vector Machine TA Shifat, JW Hur 한국통신학회 학술대회논문집, 591-594, 2021 | | 2021 |
| System Condition Monitoring and Health Assessment Using Statistical and Signal Processing Approaches TA Shifat, JW Hur 5th International Conference on Materials and Reliability, 124-125, 2019 | | 2019 |
| An Investigation of the Performance of Law Doped 100-nm Thick P-type Polysilicon Nanowire R Yasmin, MI Jan, TA Shifat East West University, 2016 | | 2016 |
| A Fast FDI Approach for BLDC Motor using Phase Currents Normalization KA Bayo, TA Shifat, J Hur | | |
Rubiya YasminJoint Doctoral Program at University of Oregon and Oregon State UniversityVerified email at uoregon.edu
